A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Application of Computational Linguistics to Predicting Language Proficiency Level of Persian Learners' Textbooks
2022
Journal of language horizons
One subfield of assessment of language proficiency is predicting language proficiency level.This research aims at proposing a computational linguistic model to predict language proficiency level and to explore the general properties of the levels. To this end, a corpus is developed from Persian learners' textbooks and statistical and linguistic features are extracted from this text corpus to train three classifiers as learners. The performance of the models vary based on the learning algorithm
doi:10.22051/lghor.2021.32656.1354
doaj:3b5a424d0cfd467eae26ef34a8aa52ca
fatcat:44j6omndujcsdf5lx5opxncawm